PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-08-28 10:22:29.524477+00:00 (UTC)
In US/Central Time, this is 2024-08-28 05:22:29.524477-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../../_images/446f60461ee04de086224f1c80fb2202f4decd4abea7a853d3750b9a95c711e7.png
We are just generating a random time serie here.
../../_images/ed2f48c24674365b4257be51e98622ffc70c3995e22280cacc2c549c5efe3eda.png
../../_images/7f2f79e7d0017db07741ffd032acad369ad607395c5f39d4ef3075abddc8e77e.png